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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Oct 202519922001200920172026
1 result for “Taekwondo”
FST.ai 2.0: An Explainable AI Ecosystem for Fair, Fast, and Inclusive Decision-Making in Olympic and Paralympic Taekwondocs.AI

FST.ai 2.0 improves Taekwondo decision-making with AI, reducing review time and increasing trust.

problem Fair, transparent, and explainable decision-making in Taekwondo.
method Pose-based action recognition, epistemic uncertainty modeling, interactive dashboards.
result 85% reduction in decision review time, 93% referee trust in AI-assisted decisions.
TaekwondoAIexplainabilityfairnessrefereeing
2025-10-21abs ↗pdf ↗